Machine learning reveals dental caries variability in national survey database

dA new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for comprehensive analysis and visualization of data patterns in the National Health and Nutrition Examination Survey (NHANES) database.

This article was originally published on MedicalXpress.com

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